นักพัฒนาระบบ Full Stack (Full Stack Developer)

About the role

Design and develop Full Stack software for both Front-end and Back-end. Design and develop APIs. Apply AI, Mobile Application, Container (Docker/Kubernetes), and RAG (Retrieval-Augmented Generation) technologies. Manage Cloud Infrastructure on AWS and CI/CD Pipeline to support Full Stack development (Front-end + Back-end) for the organization, emphasizing modern work practices using AI-Assisted Development with tools such as Claude Code and GitHub Copilot. Develop systems that integrate LLM/RAG and Agentic AI (MCP – Model Context Protocol) under the organization's safe AI usage practices.

Key responsibilities

• Design and develop Full Stack software for Front-end and Back-end
• Design and develop APIs
• Apply AI, Mobile Application, Container (Docker/Kubernetes), and RAG technologies
• Manage Cloud Infrastructure on AWS
• Manage and maintain CI/CD Pipeline
• Develop systems integrating LLM/RAG and Agentic AI (MCP – Model Context Protocol)
• Implement AI-Assisted Development practices using Claude Code and GitHub Copilot
• Perform code review using AI Coding Assistant tools
• Support Full Stack development across the organization

About you

• Bachelor's degree in Computer Science or related field
• Minimum 2 years of Full Stack software development experience
• Skills in NodeJS, ReactJS, Golang, Python
• Database experience with MongoDB, MySQL, PostgreSQL
• AWS experience (S3, EC2, EKS)
• Experience with Jenkins CI/CD, Docker, Kubernetes
• Experience with Figma, Draw.io, Jira, Bitbucket
• Knowledge of RAG / LLM Integration
• Knowledge of Microsoft Power BI and Microsoft Access
• Experience with AI Coding Assistant: Claude Code, GitHub Copilot
• Knowledge of LLM/RAG Framework, Vector Database (pgvector, Chroma), MCP
• Git / Bitbucket Workflow and AI-Assisted Code Review experience
• Knowledge of Software Architecture and API Design
• Knowledge of Mobile Application and Container/Kubernetes
• Ability to develop RAG/AI systems
• Knowledge of Cloud Infrastructure (AWS)
• Knowledge of AI-Assisted Development and AI Coding Assistant usage (Claude Code, GitHub Copilot) in development and Code Review
• Knowledge of system operation aligned with user requirements
• Knowledge of DevOps and CI/CD
• Problem-solving and decision-making ability
• Continuous learning of new technologies (AI/Cloud Native)
• Critical thinking and AI literacy to review AI-generated results before implementation
• Work planning and systematic work execution
• Ability to work outside regular hours or on holidays as needed and ready for on-call support in case of urgent system failures
• Good English technical documentation reading and writing skills (Framework / Cloud / AI documents)
• Ability to work in Agile/Scrum team environment and work under pressure